2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) 2016
DOI: 10.1109/etfa.2016.7733546
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Vision-based sorting of medium density fibreboard and grade A wood waste

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Cited by 12 publications
(9 citation statements)
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“…It is noteworthy that annually there are plenty of oriented strandboard (OSB) and plywood discarded in European and American and particle board (PB) and medium density fiberboard (MDF) abandoned in Asia [11,12]. Utilization of these materials in manufacturing of WPCs can not only reduce production costs but also remove the problem of accumulating and discarding wood industry waste.…”
Section: Introductionmentioning
confidence: 99%
“…It is noteworthy that annually there are plenty of oriented strandboard (OSB) and plywood discarded in European and American and particle board (PB) and medium density fiberboard (MDF) abandoned in Asia [11,12]. Utilization of these materials in manufacturing of WPCs can not only reduce production costs but also remove the problem of accumulating and discarding wood industry waste.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, approaches to the problem of sorting wood chips have been increasingly gravitating towards solutions based on machine vision (Verheyen et al 2016). Sorting becomes especially important if production involves substandard input material of low quality, as this process has a strong and positive environmental effect.…”
Section: Resultsmentioning
confidence: 99%
“…Researchers and industrial partners continue to join forces in large-scale investigations to measure, model, and determine if spectroscopy has potential in a wide range of application fields, 10,11 including pharmaceutical, [12][13][14][15] food, [16][17][18][19][20] waste sorting, [21][22][23] bioprocess monitoring, 24 and metallurgy. [25][26][27][28] The potential for inline measurements is ever-increasing as new, enabling technology is being developed, e.g., enhanced silicon and InGaAs detectors, 29,30 OEM spectrometers, [31][32][33] and light-emitting diode (LED) sources.…”
Section: Introductionmentioning
confidence: 99%